data and analytics

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Published By: Microsoft Dynamics     Published Date: Jul 03, 2008
Watch this informative webcast as we discuss how the integrated intelligence in Microsoft Dynamics GP and other Microsoft technologies can help improve your company operations by providing business insights to all employees. Learn how you can enable people throughout your organization to make confident, business-critical decisions while minimizing costs.
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business management, decision making, analytics, analytical, reporting, microsoft, microsoft dynamics
    
Microsoft Dynamics
Published By: SAS     Published Date: Apr 25, 2017
Physicians and their patients, medical policy makers and licensing boards, pharmaceutical companies and pharmacies all must work together to stem the opioid epidemic and achieve the fundamental objectives of reducing addiction and deaths. With so many players and data sources, today’s information is partial, fragmented, and often not actionable. We don’t have the data to understand what’s happening, to adjust policy, and to motivate physicians and patients to change their behaviors. Better data and analytics can help develop better treatment protocols, both for pain in the first place and for remediation when patients are becoming dependent on the drugs.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
From cars to factories to cities, many governments are already collecting information from citizens and connected devices that send and receive data over the internet of things (IoT). While analysts expect the IoT to soar to tens of billions of devices by 2020, no one knows how many or what new types of intelligent devices will emerge. But we do know that traditional approaches to data management and analytics may not be sufficient for sustaining value in this new, connected world
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SAS
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Financial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools. You’ll learn about: • The new industry intrigue with artificial intelligence and machine learning. • How these emerging solutions can benefit financial institutions. • The SAS approach of “crawl, walk, run” when it comes to adopting new analytics tools.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Health insurers have long been plagued by issues of fraud, waste, abuse, error and corruption. Taking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs. Payers can achieve better outcomes when software support for the core disciplines of payment integrity run on a single platform.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
How much are fraud, error, waste and abuse costing your organization? Costs to insurers are huge – as much as 25 percent of payments made. But data management and analytics can save the day. This paper discusses how data can be used to predict and detect loss in all its forms.
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SAS
Published By: IBM Unica     Published Date: Sep 08, 2011
This SiriusDecisions vendor profile features Unica, which offers a marketing automation platform that includes online and offline campaign management, Website and content personalization, activity-based campaign triggers, lead management, and customer data and Web analytics.
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ibm, unica, siriusdecisions, vendor profile, field marketing, automation platforms, integrated enterprise, demand creation provider grid
    
IBM Unica
Published By: Netezza IBM US     Published Date: Mar 27, 2012
IBM Netezza data warehouse appliances push the limits of analytics by fusing our ground breaking data warehouse appliances with high performance, scalable analytics that can process massive data to solve complex problems orders of magnitude faster than typical solutions. IBM Netezza Analytics, IBM's embedded advanced analytics platform delivered with every appliance, enables the development and deployment of analytics to drive game changing results.
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ibm, technology, netezza, analytics, enterprise analytics, business technology
    
Netezza IBM US
Published By: IBM     Published Date: Aug 07, 2012
Databases and information management systems let you describe, categorize, store, modify and analyze data. What if you could do the same with decisions? Your systems could learn from previous choices and manipulate them to fit new parameters to intelligently mold future decisions made by executives, everyday business users and even your systems to optimize outcomes. Read this a specially selected excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems that can help your organization differentiate itself from the competition at virtually every decision point.
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ibm, technology, decision management systems, business rules, predictive analytics, data, james taylor, business technology
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
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ibm, technology, marketing, decision management, data, automation, optimization, business insight, predictive analytics, business technology
    
IBM
Published By: IBM     Published Date: Oct 24, 2012
Times are rough in the travel and hospitality industry. Customers are moving faster than ever. Whether traveling for leisure or business, they're empowered, knowledgeable and discriminating. Learn about driving revenue and loyalty for the consumer.
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marketing, ibm, smarter analytics, data, travel and hospitality, web analytics, business technology
    
IBM
Published By: IBM     Published Date: May 07, 2013
This book brings a practitioner’s view to Big Data Analytics. Download this ebook to read a practical viewpoint into leveraging analytics for Big Data. This book also draws material from a large number of workshops and interviews with business and IT leaders. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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practical viewpoint, analytics, big data, interviews, business
    
IBM
Published By: IBM     Published Date: May 07, 2013
Read this whitepaper to learn how businesses take advantage of the power of the cloud to build strong analytically oriented teams, adopt new ways to use information and jump ahead of their competition. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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analytics, cloud, business, innovation, computing, information, advantage, power
    
IBM
Published By: IBM     Published Date: May 08, 2013
Read this whitepaper to learn how Big analytics can improve your business decision making and enhance business innovation. Most of all what does it provide in terms of business value for big data. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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big data, value, analytics, improve, business, innovation
    
IBM
Published By: IBM     Published Date: May 08, 2013
Download this whitepaper to learn how organizations can extend their productivity gains provided by disclosure management solutions to their budgeting, planning and forecasting processes as well. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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management, budgeting, planning, forecasting, organizations, productivity, solutions
    
IBM
Published By: IBM     Published Date: May 08, 2013
Read this whitepaper from FSN's Gary Simon to learn how disclosure management solutions from IBM can extend the value of your existing Business Intelligence tools. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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value, business intelligence, disclosure management, solutions
    
IBM
Published By: IBM     Published Date: May 08, 2013
Learn what CFO Research found when they surveyed finance executives from U.S. companies about their reporting processes and the tools they use to prepare financial statements. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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cfo, finance, tools, financial statements
    
IBM
Published By: Adobe     Published Date: Apr 17, 2014
Discover new opportunities for maturing your data practices—and building your business results. You’ll learn how to move beyond mere web analytics to build a more comprehensive marketing analytics approach that includes mobile, social, and offline channels. And you’ll see how your current analytics capabilities compare to those of similar organizations and where you have opportunities for improvement.
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adobe, analytics, marketing, data collection, data automation, marketing automation, web analytics, marketing analytics, data exploration, automation technology, data practices, marketing solutions
    
Adobe
Published By: Adobe     Published Date: Aug 02, 2017
With the advanced analytics capabilities in Adobe Analytics and the testing and targeting capacity of Adobe Target, it’s easier than ever to realise the potential of data-driven marketing. From creating a complete view of each customer across touchpoints and along their journey, to using predictive analytics, advanced anomaly detection and machine learning to understand behaviours and needs, you can use data to plan, create and optimise the experiences that matter to you and your customers.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Adobe
Published By: CDW     Published Date: Apr 04, 2016
Prefabricated modular data centers offer many advantages over traditionally built data centers, including flexibility, improved predictability, and faster speed of deployment. Cost , however, is sometimes stated as a barrier to deploying these designs. In this paper, we focus on quantifying the capital cost differences of a prefabricated vs. traditional 440 kW data center, both built with the same power and cooling architecture, in order to highlight the key cost drivers, and to demonstrate that prefabrication does not come at a capex premium . The analysis was completed and validated with Romonet’s Cloud-based Analytics Platform, a vendor-neutral industry resource.
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analysis, development management, data management, business intelligence, best practices, data center
    
CDW
Published By: CDW     Published Date: Aug 04, 2016
Changing workloads are pushing organizations to consider new infrastructure options. The latest designs address growing interest and the unique demands of the Internet of Things and Big Data. When cloud service provider Virdata needed to develop a highly scalable platform to collect information from millions of devices and offer Big Data analytics to its customers, it chose a converged infrastructure. Download this white paper to learn more!
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technology, data, converged systems, big data, cloud, productivity, internet, analytics, business technology
    
CDW
Published By: CDW     Published Date: Aug 04, 2016
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use. Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights. Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
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data, technology, data analytics, business intelligence, enterprise, data analytics, business technology, data center
    
CDW
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